Key Features¶

You can try out leafmap by using Goolge Colab or Binder without having to install anything on your computer.

Install leafmap¶

In [1]:

import os
import subprocess

In [2]:

try:
    import leafmap
except ImportError:
    print('Installing leafmap ...')
    subprocess.check_call(["python", '-m', 'pip', 'install', 'leafmap'])

Use ipyleaflet plotting backend¶

In [3]:

import leafmap

Use folium plotting backend¶

In [4]:

import leafmap.foliumap as leafmap

Create an interactive map¶

In [5]:

m = leafmap.Map(center=(40, -100), zoom=4)
m

Out[5]:

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Customize map height¶

In [6]:

m = leafmap.Map(height="400px", width="800px")
m

Out[6]:

Set control visibility¶

In [7]:

m = leafmap.Map(draw_control=False, measure_control=False, fullscreen_control=False, attribution_control=True)
m

Out[7]:

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Change basemaps¶

In [8]:

m = leafmap.Map(google_map="TERRAIN")
m.add_basemap("Esri National Geographic")
m

Out[8]:

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Add XYZ tile layer¶

In [9]:

m = leafmap.Map()
m.add_tile_layer(url="https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}", name="Google Satellite", attribution="Google")
m

Out[9]:

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Add WMS tile layer¶

In [10]:

m = leafmap.Map()
naip_url = 'https://services.nationalmap.gov/arcgis/services/USGSNAIPImagery/ImageServer/WMSServer?'
m.add_wms_layer(url=naip_url, layers='0', name='NAIP Imagery', format='image/png', shown=True)
m

Out[10]:

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Add COG layer¶

In [11]:

m = leafmap.Map()
url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'
m.add_cog_layer(url, name="Fire (pre-event)")
m

Out[11]:

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Add STAC layer¶

In [12]:

m = leafmap.Map()
url = 'https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json'
m.add_stac_layer(url, bands=['B3', 'B2', 'B1'], name='False color')
m

Out[12]:

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Add legend¶

In [13]:

m = leafmap.Map()
url = "https://www.mrlc.gov/geoserver/mrlc_display/NLCD_2016_Land_Cover_L48/wms?"
m.add_wms_layer(url, layers="NLCD_2016_Land_Cover_L48", name="NLCD 2016 CONUS Land Cover",format="image/png", transparent=True)
m.add_legend(builtin_legend='NLCD')
m

Out[13]:

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Add colorbar¶

In [14]:

m = leafmap.Map()
m.add_basemap('USGS 3DEP Elevation')
colors = ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5']
vmin = 0
vmax = 4000
m.add_colorbar(colors=colors, vmin=vmin, vmax=vmax)
m

Out[14]:

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Add GeoJSON¶

In [15]:

m = leafmap.Map(center=[0, 0], zoom=2)
in_geojson = 'https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/cable-geo.geojson'
m.add_geojson(in_geojson, layer_name="Cable lines")
m

Out[15]:

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In [16]:

# Add a GeoJSON with random filled color to the map.
m = leafmap.Map(center=[0, 0], zoom=2)
url = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/countries.geojson"
m.add_geojson(url, layer_name="Countries", fill_colors=['red', 'yellow', 'green', 'orange'])
m

Out[16]:

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In [17]:

# Use custom style and hover_style functions.
m = leafmap.Map(center=[0, 0], zoom=2)
url = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/countries.geojson"
style = {
    "stroke": True,
    "color": "#0000ff",
    "weight": 2,
    "opacity": 1,
    "fill": True,
    "fillColor": "#0000ff",
    "fillOpacity": 0.1,
}
hover_style = {"fillOpacity": 0.7}
m.add_geojson(url, layer_name="Countries", style=style, hover_style=hover_style)
m

Out[17]:

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Add shapefile¶

In [18]:

m = leafmap.Map(center=[0, 0], zoom=2)
in_shp = 'https://github.com/giswqs/leafmap/raw/master/examples/data/countries.zip'
m.add_shp(in_shp, layer_name="Countries")
m

Out[18]:

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Add KML¶

In [19]:

try:
    import geopandas
except ImportError:
    print('Installing geopandas ...')
    subprocess.check_call(["python", '-m', 'pip', 'install', 'geopandas'])

In [20]:

m = leafmap.Map()
in_kml = 'https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/us-states.kml'
m.add_kml(in_kml,layer_name="US States KML")
m

Out[20]:

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Add GeoDataFrame¶

In [21]:

import geopandas as gpd
m = leafmap.Map()
gdf = gpd.read_file("https://github.com/giswqs/leafmap/raw/master/examples/data/cable-geo.geojson")
m.add_gdf(gdf, layer_name="Cable lines")
m

Out[21]:

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Create heat map¶

In [22]:

m = leafmap.Map()
in_csv = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/world_cities.csv"
m.add_heatmap(in_csv, latitude="latitude", longitude='longitude', value="pop_max", name="Heat map", radius=20)

In [23]:

colors = ['blue', 'lime', 'red']
vmin = 0
vmax = 10000
m.add_colorbar(colors=colors, vmin=vmin, vmax=vmax)
m.add_title("World Population Heat Map", font_size="20px", align="center")
m

Out[23]:

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Save map to HTML¶

In [24]:

m = leafmap.Map()
m.add_basemap("Esri Standard")
m

Out[24]:

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In [25]:

m.to_html("mymap.html")

Add Planet imagery¶

In [26]:

# os.environ["PLANET_API_KEY"] = "12345"

In [27]:

m = leafmap.Map()
m.add_planet_by_month(year=2020, month=8)
m.add_planet_by_quarter(year=2019, quarter=2)
m

Out[27]:

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Add OpenStreetMap data¶

Add OSM data of place(s) by name or ID to the map.

In [28]:

m = leafmap.Map(google_map=None, toolbar_control=False, layers_control=True)
m.add_osm_from_geocode("New York City", layer_name='NYC')
m

Out[28]:

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Add OSM entities within boundaries of geocodable place(s) to the map.

In [29]:

m = leafmap.Map(google_map=None, toolbar_control=False, layers_control=True)
place = "Bunker Hill, Los Angeles, California"
tags = {"building": True}
m.add_osm_from_place(place, tags, layer_name="Los Angeles, CA")
m

Out[29]:

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Use heremap plotting backend¶

• A HERE developer account, free and available under HERE Developer Portal
• An API key from the HERE Developer Portal
• Export API key into environment variable HEREMAPS_API_KEY

export HEREMAPS_API_KEY=YOUR-ACTUAL-API-KEY

In [30]:

import leafmap.heremap as leafmap

Set the API Key.

In [31]:

# os.environ["HEREMAPS_API_KEY"] = "12345"

In [32]:

api_key = os.environ.get("HEREMAPS_API_KEY") # read api_key from environment variable.

Create an interactive map

In [33]:

m = leafmap.Map(api_key=api_key, center=(40, -100), zoom=4)
m

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Last update: 2021-07-23